Senior ML Engineer
Primer.io · Remote · United Kingdom · Hungary · Poland · South Africa · Ireland · Romania ·
COMPENSATION
€•• – ••k
Listed on the employer's job board (Ashby)
- Senior ML Engineer
- Fully remote globally
- Build ML team from scratch
- Python + AWS
- Payments infrastructure
As the first Senior Engineer in Machine Learning, you will partner with a Staff Engineer to establish the foundations of the DS/ML team. You will work closely with engineering, data, and product stakeholders to identify high-impact use cases within the payments infrastructure.
The position requires owning the full lifecycle of ML features, from research and experimentation to production deployment and monitoring. You will help define technical direction and establish reliable patterns for ML work while mentoring other engineers.
What you'll do
- Own the full lifecycle of ML features from research to production monitoring
- Productionise smart routing decisions and build surrounding ML infrastructure
- Partner with product and data teams to turn use cases into shipped outcomes
- Mentor engineers on ML techniques and pragmatic tradeoffs
- Engage directly with customers to validate ideas against real usage
- Establish reliable and repeatable patterns for ML work at scale
What you'll need
- Senior experience in ML engineering or applied research with production deployments
- Strong statistical mindset for designing experiments and A/B tests
- Proficiency in Python and libraries like scikit-learn, XGBoost, or PyTorch
- Solid grounding in modern software engineering and MLOps challenges
- Familiarity with reinforcement learning concepts such as contextual bandits
- Cloud experience with AWS, GCP, or Azure
- Comfortable working independently amidst ambiguity and undefined processes
Nice to have
- Exposure to payments or e-commerce domains
Stack
- Python
- scikit-learn
- XGBoost
- TensorFlow
- PyTorch
- Keras
- AWS
- GCP
- Azure
How you'll work
- Fully remote since day one
- Globally distributed team
- Access to co-working spaces in major cities
- Annual company retreat and workations
What you get
- Competitive share options
- Flexible holiday with 25 days minimum
- £500 home office setup budget
- Generous learning budget
- Private Medical Insurance
- Best equipment provided for role
Hiring process
- Initial intro call with Talent Partner
- Interview with Hiring Manager
- Contextualised challenge stage
- Final values-alignment interview